Software Engineer, Rapid Innovation

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Engineering, Computer Science, a related field, or

equivalent practical experience.

• 5 years of experience with software development using Python or similar

coding languages.

• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience building pipelines for structured and unstructured data using both

vector databases and (retrieval-augmented generation) RAG-like architectures

to power enterprise AI solutions.

• Experience leading technical discovery sessions with customers.
• Must possess an active Top Secret/SCI security clearance with current

polygraph.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g.,

LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection,

hierarchical delegation).

• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and

techniques for optimizing state management and granular tracing.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

As a Software Engineer, you will support the Rapid Innovation team in Google

Public Sector. You will construct rapid prototype generative AI applications

tailored to public sector customers. You will leverage generative AI

technologies to develop solutions and validate their efficacy. You will swiftly

showcase the latest generative AI capabilities through direct collaboration with

customers.

In this role, you will closely collaborate with our Product team to eliminate

obstacles and shape the future trajectory of our offerings. In addition, you

will disseminate the lessons learned to customers and internal Google teams.

Google Public Sector

[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]

brings the magic of Google to the mission of government and education with

solutions purpose-built for enterprises. We focus on helping United States

public sector institutions accelerate their digital transformations, and we

continue to make significant investments and grow our team to meet the complex

needs of local, state and federal government and educational

institutions.Individual pay is determined by factors including job-related

skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Act as a trusted advisor to customers by understanding their business process

and objectives. Design and build genAI-driven solutions spanning AI, data,

and infrastructure.

• Demonstrate how Google Cloud is differentiated by working with customers on

application prototypes; demonstrating generative AI features; prompting and

tuning models; and optimizing model performance, profiling, and benchmarking.

Troubleshoot and find solutions to issues in generative AI applications.

• Build repeatable technical assets such as scripts, templates, reference

architectures, etc. to enable customers and internal teams. Work with peers

to include the full cloud stack into overall architecture.

• Work cross-functionally to influence Google Cloud strategy and product

direction at the intersection of infrastructure and AI/ML by advocating for

enterprise customer requirements.

• Coordinate regional field enablement with leadership and work closely with

product and partner organizations on external enablement. Travel as needed.